CafeMed: Causal Attention Fusion Enhanced Medication Recommendation
Fuente:
arXiv
Guardado en:
| Autores principales: | Ren, Kelin, Ju, Chan-Yang, Lee, Dong-Ho |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Towards Causal Foundation Model: on Duality between Causal Inference and Attention
por: Zhang, Jiaqi, et al.
Publicado: (2023)
por: Zhang, Jiaqi, et al.
Publicado: (2023)
Self-Labeling in Multivariate Causality and Quantification for Adaptive Machine Learning
por: Ren, Yutian, et al.
Publicado: (2024)
por: Ren, Yutian, et al.
Publicado: (2024)
Regularized Multi-LLMs Collaboration for Enhanced Score-based Causal Discovery
por: Li, Xiaoxuan, et al.
Publicado: (2024)
por: Li, Xiaoxuan, et al.
Publicado: (2024)
Goal-Oriented Sequential Bayesian Experimental Design for Causal Learning
por: Zhang, Zheyu, et al.
Publicado: (2025)
por: Zhang, Zheyu, et al.
Publicado: (2025)
ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments
por: Cha, Taehun, et al.
Publicado: (2024)
por: Cha, Taehun, et al.
Publicado: (2024)
Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge
por: Zhang, Xiaoge, et al.
Publicado: (2023)
por: Zhang, Xiaoge, et al.
Publicado: (2023)
Causal State Distillation for Explainable Reinforcement Learning
por: Lu, Wenhao, et al.
Publicado: (2023)
por: Lu, Wenhao, et al.
Publicado: (2023)
Causal Structure Representation Learning of Confounders in Latent Space for Recommendation
por: Xu, Hangtong, et al.
Publicado: (2023)
por: Xu, Hangtong, et al.
Publicado: (2023)
DIGIC: Domain Generalizable Imitation Learning by Causal Discovery
por: Chen, Yang, et al.
Publicado: (2024)
por: Chen, Yang, et al.
Publicado: (2024)
Enhancing Maritime Trajectory Forecasting via H3 Index and Causal Language Modelling (CLM)
por: Drapier, Nicolas, et al.
Publicado: (2024)
por: Drapier, Nicolas, et al.
Publicado: (2024)
Multi-Domain Causal Discovery in Bijective Causal Models
por: Jalaldoust, Kasra, et al.
Publicado: (2025)
por: Jalaldoust, Kasra, et al.
Publicado: (2025)
Learning Causal Abstractions of Linear Structural Causal Models
por: Massidda, Riccardo, et al.
Publicado: (2024)
por: Massidda, Riccardo, et al.
Publicado: (2024)
Causal Relationship Network of Risk Factors Impacting Workday Loss in Underground Coal Mines
por: Ren, Shangsi, et al.
Publicado: (2024)
por: Ren, Shangsi, et al.
Publicado: (2024)
Causal SHAP: Feature Attribution with Dependency Awareness through Causal Discovery
por: Ng, Woon Yee, et al.
Publicado: (2025)
por: Ng, Woon Yee, et al.
Publicado: (2025)
Language Agents Meet Causality -- Bridging LLMs and Causal World Models
por: Gkountouras, John, et al.
Publicado: (2024)
por: Gkountouras, John, et al.
Publicado: (2024)
Causal Preference Elicitation
por: Bonilla, Edwin V., et al.
Publicado: (2026)
por: Bonilla, Edwin V., et al.
Publicado: (2026)
CausalCompass: Evaluating the Robustness of Time-Series Causal Discovery in Misspecified Scenarios
por: Yi, Huiyang, et al.
Publicado: (2026)
por: Yi, Huiyang, et al.
Publicado: (2026)
Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach
por: Takayama, Masayuki, et al.
Publicado: (2024)
por: Takayama, Masayuki, et al.
Publicado: (2024)
Optimizing Feature Selection in Causal Inference: A Three-Stage Computational Framework for Unbiased Estimation
por: Yang, Tianyu, et al.
Publicado: (2025)
por: Yang, Tianyu, et al.
Publicado: (2025)
On the Granularity of Causal Effect Identifiability
por: Chen, Yizuo, et al.
Publicado: (2025)
por: Chen, Yizuo, et al.
Publicado: (2025)
Time Series Domain Adaptation via Latent Invariant Causal Mechanism
por: Cai, Ruichu, et al.
Publicado: (2025)
por: Cai, Ruichu, et al.
Publicado: (2025)
CausalGuard: Conformal Inference under Graph Uncertainty
por: Singh, Vikash, et al.
Publicado: (2026)
por: Singh, Vikash, et al.
Publicado: (2026)
LLM-based Agents for Automated Confounder Discovery and Subgroup Analysis in Causal Inference
por: Lee, Po-Han, et al.
Publicado: (2025)
por: Lee, Po-Han, et al.
Publicado: (2025)
Identifying Conditional Causal Effects in MPDAGs
por: LaPlante, Sara, et al.
Publicado: (2025)
por: LaPlante, Sara, et al.
Publicado: (2025)
Causal vs. Anticausal merging of predictors
por: Mejia, Sergio Hernan Garrido, et al.
Publicado: (2025)
por: Mejia, Sergio Hernan Garrido, et al.
Publicado: (2025)
Transferring Causal Effects using Proxies
por: Iglesias-Alonso, Manuel, et al.
Publicado: (2025)
por: Iglesias-Alonso, Manuel, et al.
Publicado: (2025)
Causal Identification in Time Series Models
por: Jahn, Erik, et al.
Publicado: (2025)
por: Jahn, Erik, et al.
Publicado: (2025)
Marginal Causal Flows for Validation and Inference
por: Manela, Daniel de Vassimon, et al.
Publicado: (2024)
por: Manela, Daniel de Vassimon, et al.
Publicado: (2024)
Causal Layering via Conditional Entropy
por: Feigenbaum, Itai, et al.
Publicado: (2024)
por: Feigenbaum, Itai, et al.
Publicado: (2024)
Partially Observed Structural Causal Models
por: Orujlu, Turan, et al.
Publicado: (2026)
por: Orujlu, Turan, et al.
Publicado: (2026)
Compositional Models for Estimating Causal Effects
por: Pruthi, Purva, et al.
Publicado: (2024)
por: Pruthi, Purva, et al.
Publicado: (2024)
Causal Temporal Regime Structure Learning
por: Rahmani, Abdellah, et al.
Publicado: (2023)
por: Rahmani, Abdellah, et al.
Publicado: (2023)
Measure-Theoretic Anti-Causal Representation Learning
por: Behnam, Arman, et al.
Publicado: (2025)
por: Behnam, Arman, et al.
Publicado: (2025)
The Robustness of Differentiable Causal Discovery in Misspecified Scenarios
por: Yi, Huiyang, et al.
Publicado: (2025)
por: Yi, Huiyang, et al.
Publicado: (2025)
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning
por: Zhang, Jiaru, et al.
Publicado: (2025)
por: Zhang, Jiaru, et al.
Publicado: (2025)
Federated Causal Inference from Observational Data
por: Vo, Thanh Vinh, et al.
Publicado: (2023)
por: Vo, Thanh Vinh, et al.
Publicado: (2023)
Causal Discovery with Fewer Conditional Independence Tests
por: Shiragur, Kirankumar, et al.
Publicado: (2024)
por: Shiragur, Kirankumar, et al.
Publicado: (2024)
Scalable Variational Causal Discovery Unconstrained by Acyclicity
por: Hoang, Nu, et al.
Publicado: (2024)
por: Hoang, Nu, et al.
Publicado: (2024)
Conformal Prediction for Causal Effects of Continuous Treatments
por: Schröder, Maresa, et al.
Publicado: (2024)
por: Schröder, Maresa, et al.
Publicado: (2024)
Interventional Causal Discovery in a Mixture of DAGs
por: Varıcı, Burak, et al.
Publicado: (2024)
por: Varıcı, Burak, et al.
Publicado: (2024)
Ejemplares similares
-
Towards Causal Foundation Model: on Duality between Causal Inference and Attention
por: Zhang, Jiaqi, et al.
Publicado: (2023) -
Self-Labeling in Multivariate Causality and Quantification for Adaptive Machine Learning
por: Ren, Yutian, et al.
Publicado: (2024) -
Regularized Multi-LLMs Collaboration for Enhanced Score-based Causal Discovery
por: Li, Xiaoxuan, et al.
Publicado: (2024) -
Goal-Oriented Sequential Bayesian Experimental Design for Causal Learning
por: Zhang, Zheyu, et al.
Publicado: (2025) -
ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments
por: Cha, Taehun, et al.
Publicado: (2024)